Method and system for identifying users and detecting fraud by use of the internet

ABSTRACT

A method and system for detecting and preventing Internet fraud in online transactions by utilizing and analyzing a number of parameters to uniquely identify a computer user and potential fraudulent transaction through predictive modeling. The method and system uses a delta of time between the clock of the computer used by the actual fraudulent use and the potentially fraudulent user and the clock of the server computer in conjunction with personal information and/or non-personal information, preferably the Browser ID.

CROSS-REFERENCE

This application is a continuation-in-part application of U.S. patentapplication Ser. No. 11/241,739 filed on Sep. 29, 2005, which is acontinuation-in-part application of U.S. patent application Ser. No.10/791,439 filed on Mar. 2, 2004, and claims the benefit of priority toU.S. Provisional Patent Application Ser. No. 60/694,768 filed Jun. 27,2005, all of which are incorporated herein by reference in theirentirety.

BACKGROUND OF THE INVENTION

The invention relates to Internet purchasing or e-tail transactions andspecifically to detecting fraud in such transactions when orderingproducts, services, or downloading information over the Internet.

There is a continuing need to develop techniques, devices, and programsto detect and prevent Internet fraud. The invention provides a methodand a system for detecting and preventing Internet fraud by utilizingand analyzing a number of parameters to uniquely identify a customer anda potential fraudulent Internet-based transaction.

DESCRIPTION OF THE PRIOR ART

Many methods and systems have been developed over the years to preventor detect Internet fraud. Today, to gain consumer confidence and preventrevenue loss, a website operator or merchant desires an accurate andtrustworthy way of detecting possible Internet fraud. Merely asking forthe user name, address, phone number, and e-mail address will notsuffice to detect and determine a probable fraudulent transactionbecause such information can be altered, manipulated, fraudulentlyobtained, or simply false.

Typically, an Internet user who accesses a website for obtaining aservice, product, or information, not only enters personal informationas mentioned above, but is also requested to provide a credit cardaccount number, expiration date, and billing address. An online criminalseeking to obtain goods, services, or access to information (text and/orvisuals over the Internet) commonly uses someone else's credit cardinformation to obtain the services or products during the transaction.To prevent such occurrences, websites, via credit card companies andbanks, often check to see if the address on the order corresponds ormatches the address for the credit card owner. Although billing andshipping addresses can differ, such as when someone purchases a gift foranother, it is a factor to consider in the verification process.Additionally, merchants utilize phone number matching between that ofthe Internet order and the credit card company database. Anothercommonly used technique for order verification is e-mail addressverification where the website operator sends a message to the usere-mail address asking the customer to confirm the order prior toexecuting the same. Yet, online thieves frequently use e mail addressesfrom large portal sites that offer free e-mail accounts. These e-mailaddresses are easily disposable and make it harder for the websiteoperator to identify the fraudulent customer before executing thetransaction.

More sophisticated websites now capture a variety of parameters from theuser known as Common Gateway Interface parameters (CGI parameters).These parameters commonly include non-personal information such as auser Internet Protocol Address (IP Address). Every computer connected tothe Internet is assigned a unique number known as its Internet Protocol(IP) Address. Much like a phone number in a home or office, an IPaddress can be used to identify the specific user or at least theparticular computer used for an Internet transaction. In addition, sincethese numbers are usually assigned in country-based blocks, an IPaddress can often be used to identify the country from which a computeris connected to the Internet. Yet, IP addresses can change regularly ifa user connects to the Internet via a dial-up connection or rebootstheir computer. Online thieves also have ways of scrambling their IPaddresses or adopting another IP address to make it nearly impossiblefor the website operator to identify the true user. Thus, websitestypically use an IP address plus a further non-personal identifier suchas a Browser ID (or user agent), a cookie, and/or a registration ID totry to identify a unique user and to prevent fraud in a secondtransaction.

A Browser ID provides the website operator with a wealth of informationabout the user such as the software being used to browse or surf theInternet. Additionally, the Browser ID includes information about theuser computer operating system, its current version, its Internetbrowser and the language. Thus, the Browser ID has valuable informationfor identifying a unique user. The Browser ID may also have moredetailed information such as the type of content the user can receive;for example, this lets the website operator know if the user can runapplications in FLASH-animation, open a PDF-file, or access a MicrosoftExcel document. Yet, Browser IDs from different computers can besimilar, as there are so many Internet users and thus many have similarcomputers with the same capabilities, programs, web browsers, operatingsystems, and other information. A cookie refers to a piece ofinformation sent from the web server to the user web browser which issaved on the resident browser software. Cookies might contain specificinformation such as login or registration information, online ‘shoppingcart’ information, user preferences, etc. But cookies can easily bedeleted by the computer user, by the browser, or turned off completelyso that the server cannot save information on the browser software.Thus, cookies alone cannot serve as a unique identifier to thwart anInternet thief.

Accordingly, what is needed is a method and system that overcomes theproblems associated with a typical verification and fraud preventionsystem for Internet transactions particularly in the purchasing ofservices, products, or information by uniquely identifying eachconsumer. Then, when that consumer seeks a second fraudulent purchase,the website operator will detect the same and block the order or, atleast, obtain more information to ensure the order is legitimate. Thesystem should be easily implemented within the existing environment andshould be adaptable and compatible with existing technology.

SUMMARY OF THE INVENTION

In accordance with the invention, a method and system is provided fordetecting potentially fraudulent transactions over the Internet. Themethod and system comprises obtaining information relating to thetransaction from the consumer and combining this information with a unitcorresponding to the change of time, a delta of time parameter, tocreate a unique computer identifier. If a future transaction involves anidentical computer identifier, as described below, which was previouslyengaged in a fraudulent transaction, the website operator can choose tocancel the transaction, pursue legal action, seek further verification,or the like. By using information relating to the first transaction,such as the IP address and/or Browser ID, and combining it with thedelta of time parameter, as detailed herein, the website host can moreaccurately preventively track fraudulent users online by comparingcomputer identifiers to each other. In so doing, an integrated fraudprevention system is provided which allows the website host, merchant,or the like, to accurately and efficiently determine the validity orfraudulent quality of a transaction sought to be transacted over theInternet.

Accordingly, the invention provides a method and system for improvingfraud detection in connection with Internet transactions. Variousembodiments of the invention utilize existing technological capabilitiesto prevent online thieves from making second fraudulent transactions.

Another aspect of the invention provides methods and systems fordetecting and preventing Internet fraud committed as a result of “scams”or deceptive practices developed to acquire personal, confidentialand/or financial information. The concepts of the invention describedabove may be characterized as “fingerprinting” techniques and methods toidentify and/or prevent fraud involving information obtained throughInternet scams. These unlawful practices will likely continue as newtechniques are developed in addition to schemes already known to thosein field today such as phishing, pharming, spoofing, session cloning andother deceptive practices. It shall be understood that the clock basedor delta of time parameters provided herein can be used within the scopeof the invention either alone or together with other known or futuredeveloped fraud parameters in the fight against online fraud andInternet scams. The various methods and systems provided in accordancewith the invention offer improved and enhanced fraud detection and/orprevention solutions for e-commerce and Internet based transactions.These solutions provide a degree of invisibility to users and fraudstersalike and do not require any or all of the following: user interaction(less likelihood for mistakes or carelessness), opt-in (no adoptionissues and full coverage of anti-fraud measures can be provided), changein customer behavior (no confusion as to what actions need be taken oravoided), downloads or cookies (no compatibility issues with usercomputers or browsers). Moreover, these Internet based solutionsgenerate low false-positives and false negatives so as to minimize lossof business for mistakenly turning down legitimate transactions andsuccessfully rejecting transactions that are fraudulent. The inventioncan incorporate a type of link analysis on user information fromcompromised accounts to identify a fraudster and/or the computer used toconduct fraudulent transactions online.

The features and advantages to various aspects of the invention arereadily apparent from the following detailed description of the bestmode for carrying out the invention when taken in connection with theaccompanying chart and other portions of the specification and figuresherein.

INCORPORATION BY REFERENCE

All publications and patent applications mentioned in this specificationare herein incorporated by reference to the same extent as if eachindividual publication or patent application was specifically andindividually indicated to be incorporated by reference.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a chart that illustrates the versatility and accuracy of theinvention in weeding out possible fraudulent online transactions.

FIG. 2 describes a connection between a customer computer and a merchantwebsite server whereby each device maintains respective times accordingto a resident clock.

FIG. 3 A-C is an index of different Time Zones around the world.

FIG. 4 is a flowchart describing an embodiment of the invention thatprovides a customer computer identifier.

FIG. 5 describes components of a customer computer identifier providedin accordance with the invention.

FIG. 6 illustrates a comparison of computer identifiers that provides amatching parameter for consideration by an online merchant.

FIG. 7 shows various components and parameters that may comprise a usercomputer identifier in accordance with an embodiment of the invention.

FIG. 8 depicts the comparison between multiple computer identifiers toprovide a matching parameter that can be compared against a preselectedmatching value.

DETAILED DESCRIPTION OF THE INVENTION

The present invention relates to a method and system for detectingpotentially fraudulent transactions over the Internet. Variousmodifications to the preferred embodiment will be readily apparent tothose skilled in the art and the general principles herein may beapplied to other embodiments. The present invention is not intended tobe limited to the embodiment shown but is to be accorded the widestscope consistent with the principles and features described herein. Itis to be understood that the website, its host, or operator does nothave to be a merchant of goods.

The present invention provides a fraud prevention system for onlinetransactions by uniquely identifying a customer based on a number ofparameters at least one of which is a delta of time parameter andanother of which is another Internet related parameter, preferably theBrowser ID of a computer.

Referring to the chart shown in FIG. 1, what is shown is a series oftypical transactions on the Internet between a merchant and severalcustomers. Each customer establishes a connection between his computerand the merchant's website. Upon making this connection, the merchant'swebsite receives some non-personal identification information from thecustomer. This non-personal information typically includes CommonGateway Interface (CGI) parameters such as the customer's InternetProtocol (IP) Address and the computer's Browser ID. While “hackers” canchange, disguise, and/or emulate the IP address to mask a fraudulenttransaction, most do not now have the capability nor the idea to do thesame for the Browser ID. While some “hackers” can change the Browser ID,it is not a trivial tool and if one needs to change it all the time itis not allowing those thieves to easily steal, hence, they are likely togo to a site that does not check Browser IDs. In a typical embodiment,when the customer decides to purchase services, goods, or informationfrom the website, the customer must input additional and more personalinformation. This personal identification information may commonlyinclude the customer's name, address, billing and shipping information,phone number, and/or e-mail address. A key feature of the presentinvention is that the website server also captures the local time of thecustomer's computer, typically through a program such as Javascript, aswell as the local time of the server's computer. The server thencalculates the time difference (or delta of time) between the customer'scomputer clock and the server's computer clock. This can be recorded inany desired format such as hours, minutes, seconds, or the like, butcorresponds to a delta of time parameter. The delta of time parameter,the non-personal information, including but not limited to the preferredusage of the Browser ID, and/or the personal information are stored bythe merchant and used to uniquely identify the customer.

As shown in FIG. 2, a connection may be established between a customercomputer 12 and a merchant website server 14. Upon making the onlineconnection, various information is transmitted by the customer computer12 that may operate as a unique user and/or computer identifier. Thisinformation may include personal information specific to the customer,non-personal information corresponding to the customer computer, and thelocal time according to the customer computer. The merchant website canreceive non-personal customer information including CGI parameters suchas the customers IP address and computer Browser ID. The customer canfurther input personal information when making a purchase from thewebsite including a customer name, address, billing and shippinginformation, phone number, and/or e-mail address(es). In accordance withthis embodiment of the invention, the relative customer computer localtime according to its resident clock may be captured, typically througha program such as Javascript or any other time indicator employed bytelecommunications and networking systems such as timestamps withintransmitted data packets (e.g., TCP timestamps in packets within a datastream wherein each packet includes a header portion containing a 32-bittimestamp generated by a originating computer according to localresident time). The local time of a customer computer or client may becaptured during any selected moment of action such as when the customervisits or is logging into a merchant site, at the time of a purchase orat times during an exchange of information that can be reflected intimestamp to data packets transmitted across a selected network or theInternet. At the same time, the merchant web server also maintains andmeasures a relative website server local time according to a residentclock. The time difference or delta of time as between the customercomputer clock and the servers computer clock can be thereforecalculated. This approach in determining when to measure a time ofaction or event may be characterized as opportunistic in thatmeasurements are taken at selected moments in time. The delta of timecan be measured, calculated and recorded by the merchant web server orany other computer operating with or connected to the merchant onlinesystem. The delta of time may be measured in any desired format orincrements of time such as hours, minutes, seconds, milliseconds(microseconds) or the like. Over different periods of time, the delta oftime parameters are generally persistent with relatively high degree ofaccuracy. Accordingly, the measured time difference between thesecomputer clocks provides a fraud parameter in accordance with thisaspect of the invention that may link or associate a particular customercomputer with transactions that may involve fraud.

The delta of time (Time Diff) parameter provided in accordance with thisaspect of the invention may function alone or combined with otherparameters to provide what may be characterized as a “PC fingerprint.”Such devices include personal computers or any other type of computingdevices or computers including those from Apple Computer, Inc.(hereinafter collectively PC). Each PC connected to the Internet may beconfigured slightly different and may possess identifiablecharacteristics distinguishing it from other devices which can beexploited by the invention. A more accurate PC fingerprint may begenerally developed by considering a greater number of availablecomputer related parameters. The Time Diff parameter may serve as partof a PC fingerprint for identifying a device which serves as adistinctive mark or characteristic about a particular user device. Inaddition to a Time Diff parameter, the flow of information exchangedduring an Internet session may be captured and provide significantinformation about the user device on the other end. This type ofinformation exchange considered by the invention is preferably invisibleand transparent to users, and does not rely on user action ormodification of online behavior. The Time Diff parameter may thus linkincidents involving fraud, hacking, phishing etc. by automaticallycorrelating information such as login data, computer data and customerdata. For example, by analyzing data sent from the user device,information about the device and browser used by an individual may beobtained such as a Browser ID, the Browser/device IP address and theparticular Browser language. By formulating a more accurate PCfingerprint, there is less likelihood of mistakenly associating a userwith a fraudulent transaction (false positive) during e-commercetransactions, or failing to detect a fraudster. Other applications ofthe invention include national security and law enforcement whereby acomputer can be uniquely identified in a manner similar to way thievescan be identified by a physical fingerprint. Accordingly, a PCfingerprint provided by the invention enables the ability to link andconnect different online accounts and activity to a same device.

The Time Diff parameter provided in accordance with the invention may becaptured or measured during various selected moments of action during anInternet session such as the login step or procedure. Today it isestimated that medium to large e-commerce merchants and financialinstitutions receive over 5,000 orders per day for digital and shippedgoods, and over 100,000 logins per day. Many Internet Service Providers(ISPs) also manage accounts and user logins on an enormous scale also.This aspect of the invention can be applied to broader applicationsonline to authenticate a user or uniquely identify a computer on theInternet in addition to e-commerce transactions and fighting fraud oridentify theft. For example, the invention may be applied where amerchant or financial institution (FI) server resides in California, USAand a valid customer (Customer) who also normally resides in California,USA. It shall be understood that the following examples below describelogin procedures which could be modified according to the invention forany other selected moment of action during an Internet session such aslogout procedures, when a user clicks a “submit” button within a userinterface, or transmission of any other information between usersonline.

During a “valid” login procedure, the Customer may initiate a loginprocedure from a web browser on a computer that registers a timeaccording to its clock as follows: Time=11:00 am/Time Zone: GMT−8 and anIP address from the California region. Meanwhile, from the perspectiveof the FI, the recorded time at the FI server according to itsrespective clock may be: Time=11:01 am/Time Zone: GMT−8 and an IPaddress from the California region. It shall be understood that theinvention may incorporate IP address locator tools which determine anidentifier for an online device and its location based on geographicregions within a country or around the world. Upon analysis of thisinformation from the Customer that may be reflected on a conceptual oractual Score Card, which can be calculated and stored in memory withinthe server of the FI or any its other network computers, the FI candetermine whether there is a match indicating a valid user login.Accordingly, the exchange of information in the above described examplemay be reflected as a match on or as a Score Card that measures thevalidity of the customer: Time Diff=Match/Time Zone=Match/IP=Match.

During a “suspect” login procedure, a Customer may initiate a loginprocedure from a web browser on a computer that registers a timeaccording to its clock as follows: Time=10:02 pm/Time Zone: GMT+3 and anIP address from a region in Russia. Meanwhile, from the perspective ofan FI, the recorded time at the FI server according to its respectiveclock may be: Time=11:01 am/Time Zone: GMT−8 and an IP address againfrom its California region. Upon analysis of this information from theCustomer in accordance with the invention, the Time Diff and Time Zonemeasurements as between the Customer and the FI are different from priorvalid logins and therefore not a match. Furthermore, the IP addressreceived by the FI indicating a device outside of the California regionwould not be a match and further suggest an invalid login attempt by afraudster or other unauthorized individual. The Score Card for thislogin example measuring the validity of the customer can thus show: TimeDiff=No Match/Time Zone=No Match/IP=No Match. The FI would be thusalerted that the alleged Customer attempting to login was likelyinvalid.

During a “valid” login procedure from a Customer traveling with acomputer and browser in London, the Customer may initiate a loginprocedure at a registered time according to its clock as follows:Time=11:00 pm/Time Zone: GMT−8 and an IP address from a region aroundLondon. Meanwhile, from the perspective of an FI, the recorded time atthe FI server according to its respective clock may be: Time=11:01am/Time Zone: GMT−8 and an IP address again from its California region.Upon analysis of this information from the Customer, the Time Diff andTime Zone measurements as between the Customer and the FI are the sameas prior valid logins and therefore a match. While the IP addressreceived by the FI indicating a device outside of the California regionwould not be a match and suggest an invalid login attempt, thecomparison of the Time Diff and the Time Zone measurements would be amatch. Because the Time Diff parameter provided in accordance with theinvention can be used in combination with other fraud parameters forauthentication and identification, a Score Card for this login examplemeasuring the validity of the customer could still show a matchnevertheless: Time Diff=Match/Time Zone=Match/IP=No Match.

The Time Diff parameter provides fraud detection tools for onlinemerchants, financial institutions and other parties conducting commerceon the Web. These tools can be applied to combat well recognizedproblems such as reducing the number of false positives which reducepossible revenue from mistakenly identified valid users. In addition,Time Diff based tools provide an effective solution to identifying andpreventing fraud during the course of international and overseastransactions where there are significantly increased risks of fraudulentactivity. Accordingly, the Time Diff parameters herein allow thecreation of a more accurate and relevant geo-location or PC fingerprintfor many different types of online transactions around the world.

It shall be understood that the Time Diff parameters provided inaccordance in this aspect of the invention may be defined as thedifference in the registered computer times as measured in any unit oftime (e.g., hours, minutes, seconds, milliseconds, microseconds) betweenany selected computers either alone, or in combination with the TimeZone herein or any other temporal characteristics. Furthermore, as withother embodiments described herein, the concepts of the invention can bepreferably applied to e-commerce transactions to deter or identify fraudbut is not limited thereto and are equally applicable to any otheronline application to uniquely identify and link a computer device onthe Internet according to a Time Diff parameter. While consideration ofTime Diff parameters alone may not be completely effective as with anysolution against fraud, phishing etc., the PC fingerprinting methods andtechniques provided herein enables effective link analysis betweencomputer devices and compromised accounts or any other transactionhaving or associated with a fraudulent past or history. By following andlearning from historical incidents of security breaches and fraud, theinvention can quickly pinpoint repeat offenders and build a strongerdefense against different criminal behavior or schemes now known andthose that will be developed in the future.

Another embodiment of the invention provides a delta of time (DeltaTime) parameter that can be calculated based on the local time asindicated through the browser of a client computer (Browser Time) andthe local time as determined at a server (Server Time)—also applicablein FIG. 2. The Delta Time may operate as a fingerprint for a particularclient computer or computer and assists in uniquely identifying it fromother computers on the Internet or selected network. Each local time forany client or server connected to the Internet or other network systemcan be measured according to the clock for that particular device. Themeasured Delta Time parameter for any selected moment of action inaccordance with the invention may be perceived as having two temporalcomponents: an actual time and a time zone. For example, the measuredlocal time at a client site may include a Browser Time of Feb. 1, 200514:00:00 PM, and a Browser Time Zone of GMT−8. The measured local timeat a server site may include a Server Time of Feb. 1, 2005 17:01:13 PM,and a Server Time Zone of GMT−5. The Delta Time as between the BrowserTime and the Server Time, and the Browser Time Zone in comparison to theServer Time Zone, can be therefore calculated in accordance with theinvention.

A preferable embodiment of the invention provides a Delta Time or timedifferential which takes into consideration daylight saving time (DST)in selected time zones and countries around the world such as thoseidentified in FIG. 3. In addition to collecting respective local timesand time zones from clients or customer computers and website servers ata current selected date or moment of action, a website server or anyother network computer can also capture information relating toparticular time and time zones for selected (future or even past) dates.A selected Delta Time during DST (DST Delta Time) can be determined fora particular customer or client computer when the registered time forsuch other date is different than the current selected date. Forexample, the Delta Time value for such other date(s) can be +/− one hourahead or behind. For time zones that do not observe DST, the Delta Timevalue will remain unchanged during such dates when DST would be normallyobserved. By calculating and identifying values for Delta Time andrelevant Time Zones for multiple dates ahead of time in accordance withthe invention, accurate delta of time values can be provided to assistin uniquely identifying or fingerprinting a client or customer computerthroughout the year regardless of whether DST is observed in therelevant country or region of the world. Because only certain countriesand regions of the world observe DST while others do not, it may bepossible to pinpoint in which location the device resides based at leastin part on the geo-location fingerprints provided by the invention.

DST (also called Summer Time) is the portion of the year in which thelocal time of a region is usually advanced by one hour from its officialstandard time. This system was originally intended to “save” daylight,as opposed to “wasting” time (for example, by sleeping past sunrise).The official time is adjusted forward during the spring and summermonths, so that the active hours of daily life involving events such aswork and school will better match the hours of daylight in theory. Todayapproximately 70 countries utilize DST in at least a portion therein—theonly major industrialized country not to have introduced daylight savingis currently Japan. DST begins for most of the United States of Americaat 2 a.m. on the first Sunday of April and clocks are turned (spring)forward one hour. Time reverts to standard time at 2 a.m. on the lastSunday of October and clocks are turned (fall) back one hour. Each timezone switches to and from DST at a different time. Furthermore,legislation may be passed by Congress and other state governmentalbodies from time to time on whether to observe, shorten or lengthen DST.DST for the United States of America and its territories is not observedin Hawaii, American Samoa, Guam, Puerto Rico, the Virgin Islands, mostof the Eastern Time Zone portion of the State of Indiana, and the stateof Arizona (except the Navajo Indian Reservation which does observeDST). Meanwhile, for all countries in the European Union except Iceland,Summer Time begins and ends at 1 am Coordinated Universal Time, UTC(Greenwich Mean Time, GMT) which generally starts on the last Sunday inMarch, and ends the last Sunday in October. All time zones change at thesame moment in the EU. It shall be understood that observance of DST iscontroversial and ever changing so the delta of time parameter providedin accordance with this embodiment of the invention can be flexiblyadapted to devices all over the world when it changes and whether or notDST is observed in certain countries or states within particular timezones.

In this embodiment of the invention, various time zones as shown in FIG.3 can be predetermined such that it is known ahead of time whether ornot DST is applicable for that region. For example, a Delta Timeparameter may be calculated for a client computer at some future date(s)during DST. When the clock of a client computer registers a time of 8:00pm PST (Greenwich Mean Time GMT−8) on a selected date during the fallseason, its respective delta of time is changed one hour ahead to 9:00pm PST (GMT−8) on a selected date in the spring season to account forDST when applicable. By collecting and determining times at one or moreselected dates in the future, it is possible to determine whether adevice will or will not go into DST from the beginning rather thanwaiting until later to see whether the registered time is the same ordifferent. This will also assist in identifying the country or regionfor a selected user device. Accordingly, seemingly unrelatedtransactions can be linked at least in part from a distinctive timestampdelta of time (Delta Time) that can be measured from the internal clockor data (TCP, NTP, RTP etc. timestamps within data packets) sent fromthe device. It should be understood that the Delta Time parameter can becalculated according to any selected units of time as with otherembodiments of the invention herein such as minutes, seconds, ormilliseconds.

FIG. 4 is flow chart depicting another aspect of the invention thatprovides methods for determining a customer computer identifier (CI)used in detecting fraud in connection with online commercialtransactions. At step 10, a merchant web server receives customerpersonal information, such as name, address, phone number, etc. At step20, the web server receives non-personal information from the customersuch as IP address and Browser ID. At steps 30 and 40, the web servercaptures the local time and the time zone at the customer computer. Thedelta of time parameter is then calculated at the time of thetransaction at step 50. It should be noted that the delta of timeparameter may be calculated at the time of the customer login, othertimes during a transaction or at any selected moment of action. At step60, the delta of time parameter and time zones are calculated at one ormore future selected dates. Using the customer information and the deltaof time parameters, the customer computer identifier is determined atstep 70. Any one or more of these steps may be used in combination witheach other and in a different order of operation depending on selectedapplications. It should be further understood that processes inaccordance with this embodiment of the invention may provide a delta oftime parameter and a computer identifier described elsewhere herein andalso used together with other aspects of the invention, e.g. FIG. 2.

In another preferable embodiment of the invention, as illustrated inFIG. 5, a particular subset of selected parameters or fields cancombined or aggregated to construct a customer computer identifier 31.For example, the customer computer identifier 31 can be determined basedon selected customer personal information 32, customer non-personalinformation 34, including a Browser ID 36 and a delta of time parameter38. These selected parameters are not meant to be limiting and otherinformation or fraud parameters described herein or otherwise known tothose of ordinary skill may be used to create a customer computeridentifier 31. Specifically, another preferable embodiment of theinvention includes a customer computer identifier consisting of a deltaof time parameter plus a Browser ID alone which can be used to identifyor “fingerprint” a user computer. But the selected customer information32 alone is not entirely reliable by itself as it can not be easilyvalidated as suggested above. Nevertheless when combined withnon-personal information 34, and in particular a measured delta of timeparameter, other embodiments of the invention may provide reliable andeffective methods of identifying computers on the Internet such as thoseassociated with known fraudulent transactions. The delta of timeparameters provided in accordance with this and other aspects of theinvention herein offer fingerprinting capabilities that uniquelyidentify particular computing devices used in e-commerce transactions.Because computer users rarely personally change the internal clockswithin their computers, the delta of time parameter will likely be thesame (or within a range or within predictable limits) for a computerevery time that computer is used to conduct an online transaction withthe same merchant even if the user disguises or changes the IP address.The Browser ID is also not likely to be changed, even by a consumerseeking to perpetuate a fraudulent transaction. Thus, the delta of timeparameter (the difference between the time of day of the computer user'sclock and the time of day on the website's server clock as in FIG. 2) isan important component of the computer identifier because it, along withthe preferred Browser ID or other personal or non-personal information,is a good indication of the identity of a subsequent user on the samecomputer. The delta of time parameter also allows the merchant topotentially locate the computer in terms of a time zone, region, orcountry.

Accordingly, once a merchant determines that a first fraudulenttransaction may have been made, the merchant can flag the customercomputer identifier, i.e. Browser ID and delta of time. In a preferredembodiment, the computer identifier will include at least its delta oftime and Browser ID, but may also include other personal and/ornon-personal information. Then, the matching parameter can be used toidentify a subsequent transaction which reveals a user with an identicalset of computer identifiers. The matching is typically implemented bysoftware, for example, on a hard disk, floppy disk, or othercomputer-readable medium.

A flowchart is provided in FIG. 6 that illustrates methods to detectfraud according yet another embodiment of the invention. Once a merchantweb server determines the computer identifier (CI) for a firsttransaction, CI₁ 41 and a subsequent transaction, CI₂ 42, a comparisoncan be made as between the two identifiers 41 and 42 and performed atstep 44 as illustrated. After the comparison has been made, a computerimplemented software program may continue to execute the next step ofassigning a matching parameter value to the pair of transactions basedon the similarities between the first and subsequent transactions, atstep 46. At step 48, the website server running the program to comparecomputer identifiers may inform the merchant of the matching parametervalue, which in turn may provide information suggesting to cancel orconfirm the transaction, inform the customer status order, demand moreinformation, or the like. The merchant may then choose its desiredcourse of action. It shall be understood that the memory of a merchantweb server may contain software programs with instructions to performany combination of these steps to provide these and any other methodsdescribed herein in accordance with the invention.

FIG. 7 provides a hierarchical representation of user computeridentifiers (CIs) for the identification and prevention of online fraudthat may be generated as described with the various embodiments of theinvention. A computer identifier (CI), which may uniquely identify acomputer associated or linked to known fraudulent transactions (or foralternative purpose described herein), may comprise both personal andnon-personal parameters. Personal parameters may include consumeridentification (ID) information and other selected personal parameters.Examples of selected consumer ID information include but are not limitedto the following: user or personal name, address, billing information,shipping information, telephone number(s), e-mail address(es).Meanwhile, non-personal parameters may include a variety of known fraudparameters including computer identification (ID) information. Thisincludes delta of time parameters as described herein which may bemeasured in any increment of time such as hours, minutes, seconds andmilliseconds. Other computer ID information includes Internet Parameterssuch as Common Gateway Interface (CGI) parameters including a customercomputer Internet Protocol (IP) Address and Browser ID.

A particularly important feature of the present invention is themerchant's ability to include, remove, and weigh each parameter withinthe computer identifier. For example, the merchant may choose to onlyuse the delta of time parameter and Browser ID to form the uniquecomputer identifier. Accordingly, the merchant may set the matchingparameter to fit a level of comparison between the first and subsequenttransaction. For example, since deltas of time may slightly changebecause of the differences in accuracy between the server and the usercomputer clock mechanism, computer clocks and deltas may slightly varyover time. The merchant may set the matching parameter to include arange of delta of time, such as a few minutes, instead of an exactmatch. This way, even if the user computer “loses time,” the matchingparameter will still identify the subsequent transaction as a potentialfraudulent one based on other information within the computeridentifier.

A series of computer identifiers (CIs) are shown in FIG. 8 which can bematched, e.g., CI₁-CI₄ . . . . When a CI is generated by a method orsoftware program by a computer to be identified or associated with aknown fraudulent transaction, it can be compared to another selected CI.During a comparison step between the two, a matching parameter (MP) maybe calculated. The calculated value of the MP may consist of a rawnumber or score that is dimensionless, e.g., 11.5, or some increment ofmeasurement including time, e.g., hours, minutes, seconds, milliseconds.The matching parameter may be thus compared in a next step to apreselected reference or baseline Matching Value (MV), e.g., 10.0. Amerchant or anyone trying to identify the computer can variably set theMV relative to anticipated or measured MP values. Because of slightdifferences in computer clocks, network latency, variable Web trafficand bandwidth constraints, the delta of time parameters provided hereinmay vary from time to time even for the same selected computer. Apreselected range (delta t) may be therefore defined in accordance withthis aspect of the invention that allows for a certain tolerance settingor range (Range) of MP values relative to the MV. For example, an lowerlimit within the Range may allow for a [+/−1] variance of the MP valuerelative to the MV, or a higher limit within the Range may allow for a[+/−5] variance. When the MP value falls within the defined Rangerelative to the MV, this can indicate a positive match or identification(ID) of a device for various purposes as described herein such aslinking a computer to known online fraudulent transactions. When the MPvalue falls outside of the defined Range relative to the MV, this canindicate a negative match or identification (ID) of a device. It shallbe understood that these MP values may be alternatively defined as aScore Card value and incorporated with other corresponding aspects ofthe invention described elsewhere herein to detect and prevent onlinefraud. The matching parameters, values and ranges described inaccordance with this variation of the invention can be modified anddefined in a variety of ways and are not limited to those specificallyprovided for illustrative purposes. The preceding steps may be carriedout as methods provided herein, or alternatively as a series of softwareprogram instructions and code.

Furthermore, in accordance with another concept of the invention, thedelta of time parameter may be measured as between different timesresulting from inherent limitations or flaws of the computer clock(s) ina single device as opposed to multiple devices. In this embodiment ofthe invention, a device fingerprint or PC fingerprint is created touniquely identify and link a computer to known fraudulent transactionsor behavior by measuring and tracking an inherent inaccuracy or flaw ofa resident clock. In comparison to other embodiments of the invention,which may be described as an “external” delta of time as between twodifferent devices (host server/user client), another variation providedherein provides a device identifier using what may be considered an“internal” delta of time as between a single device itself (standalone).Over a period of time, computers clocks as with other ordinary clocksare not perfect and tend to run fast or slow eventually. The rate atwhich time is gained or lost for a computer clock may be defined as“clock skew” and can be measured in microseconds per second (clock skewmay be also defined as the instantaneous difference between readings ofany two clocks or the time what a computer thinks it is as compared toanother clock). If the clock has a non-zero skew, not only is theend-to-end delay measurement off by an amount equal to what can bedefined as clock offset, it also gradually increases or decreases overtime depending on whether it is running relatively faster or slower.Even when there is a constant clock skew, the clock offset valuesincreases or decreases over time depending on the sign (+/−) of theskew. So any given computer or device described herein can have a singleor multiple clocks (e.g., systems clock, TCP timestamps options clock)that are unable to remain consistent and accurately track time. But theclock skew of a particular device may be different from other (evenseemingly identical) computers, and thus serve as a PC fingerprintlinking it to certain transactions and fraud. It is generally well knownthat different computer systems have different and relatively constantclock skews. This imperfection or flaw in the device can thus exploitedin a way to identify a particular device or computer in relation tocertain transactions and behavior since it is relatively persistent andunique in accordance with the invention. The internal delta of timeprovided in accordance with this embodiment can be therefore applied inthe same manner as any other external delta of time described elsewhereherein to provide a PC fingerprint linked to transactions carried out ondevices involving e-tail or e-commerce fraud, breaches in security andvarious types of criminal online behavior.

In this embodiment of the invention, the delta of parameter can bemeasured in units of microseconds per second (ms/s, first derivative orrate at which time is gained or lost) while in other embodiments of theinvention the parameter can be measured in microseconds. This delta oftime parameter can therefore be defined as a time difference measuredbetween a first clock measurement and a second clock measurement over aselected period of time or time interval. For example, the TCP timestampof a first packet of data from a computer may indicate a time t1 (9:01am) while a second packet may be sent at time t2 (9:02 am). The firstand second packets may arrive at a server at times t3 (9:04 am) and t4(9:07 am), respectively. The clock skew of the computer can be thuscalculated as the rate at which time is lost in this instance: t3−t1=3mins; t4−t2=5 mins (may assume time differences are not attributed tonetwork delays, latency etc. beyond clock skew). The internal delta oftime parameter or clock skew in the context of this embodiment of theinvention herein may be calculated as follows: 5 mins−3 mins=2 minsdivided by 3 mins (which is the selected period of time between firstand second packets). In other words, during the 3 mins of time betweensending the first and second data packets, the computer clock lost orran slow 2 mins (0.666 min/min). While clock skew in general is insteadmeasured on the order of microseconds rather than minutes, this exampleillustrates how these and other embodiments of the invention are notlimited to certain ranges. Other units of measurements are applicable tothe delta of time parameters as mentioned elsewhere herein. It shall beunderstood that both internal and external deltas of time can be appliedindividually or in combination by themselves, or in addition to otherparameters as described herein to provide a distinctive PC fingerprint.

The delta of time parameter can be used in or incorporated into aconsortium. See, e.g., U.S. Patent Publication No. 2010/0004965,Inventor: On Eisen, filed Jul. 1, 2009, which is hereby incorporated byreference in its entirety.

Another aspect of the invention provided herein extends to detecting andpreventing fraudulent transaction based on information obtained through“scams” or deceptive practices developed to gain personal, confidentialand/or financial information. For example, a common technique todayknown as “phishing” involves gaining personal information from anindividual to commit identify theft by typically using fraudulent e-mailmessages that appear to come from legitimate businesses. “Phishing” canbe defined as the act of sending an e-mail to a user falsely claiming tobe an established legitimate enterprise in an attempt to scam the userinto surrendering private information that will be used for identitytheft. The e-mail often directs the user to visit a Web site where theyare asked to provide or update personal information, such as passwordsand credit card, social security, and bank account numbers, that thelegitimate organization already has. But the Web site to which the useris directed is phony and established to steal the user informationduring a fake session. For example, a widely recognized Web site, e.g.,eBay, can be targeted in a phishing scam whereby users received e-mailssupposedly claiming that the user account is about to be suspendedunless they clicked-on a provided link and updated the credit cardinformation that the genuine Web site already had. Because it isrelatively simple to make a Web site look like a legitimateorganizations site by mimicking the HTML code, people can be trickedinto thinking they were actually being contacted by the Web site andwill subsequently go to the fraudulent site to update or provide theiraccount information. Moreover, by spamming large groups of people (orspIMming them which spam sent over Instant Messaging (IM) applicationsthat can include links to fake sites), the “phisher” could rely on aresponse from at least some percentage of people who actually had listedcredit card numbers with the Web site legitimately. The concept ofphishing in general can also referred to as brand spoofing or carding, avariation on the idea whereby bait is set with the hope that some willbite despite most individuals knowing better. By way of these seeminglylegitimate e-mails, criminals “go fishing” for information which is inturn later used to gain access to a real account. Such informationincludes commonly stolen items in identify theft including a personalidentification number (PIN), user account name, a credit card number,and an account number. Regardless of how this information is obtained,the fraud detection and prevention systems provided herein incorporateunique fraud parameters such as delta of time and clock differentialparameters to “phish”-out fraudsters from legitimate users.

The criminal act that is often committed after information is “phished”can be ultimately referred to as “account takeover.” These scams arecommonly committed by e-mail to users at least partially becausemillions can be rapidly and efficiently sent to random or selectedindividuals, but other techniques can involve transmission of a virusthrough attachments to e-mails. In particular, some viruses can becreated to replace the universal resource locator (URL) of a merchant,financial institution or other party commonly stored in a web browser“Favorites” folder. Instead of being routed to an intended legitimateWeb site, the user is sent to a fake or spoofed site where userinformation is shared unknowingly with a fraudster. Similar in nature toe-mail phishing, another Internet scam referred to as “pharming” seeksto obtain personal or private (usually financial related) informationthrough domain spoofing. Rather than being spammed with malicious andmischievous e-mail requests for you to visit spoof Web sites whichappear legitimate, pharming can “poison” a DNS server by infusing intoit false information resulting in a user request being redirectedelsewhere. A browser however will indicate the correct Web sitelocation, which can make pharming a bit more serious and more difficultto detect. A distinction however is that generally phishing attempts toscam people one at a time with an e-mail while pharming allows thescammers to target large groups of people at one time through domainspoofing. Meanwhile, “spoofing” basically includes a variety of ways inwhich hardware and software can be fooled into operating as if there wasa legitimate transaction or exchange taking place. “IP spoofing” moreparticularly involves trickery that makes a message appear as if it camefrom an authorized IP address, e.g., e-mail spoofing. As a result,access can be gained to computers through IP spoofing when an intrudersends messages to a computer with an IP address indicating that themessage is coming from a trusted host. To engage in IP spoofing, ahacker must first use a variety of techniques to find an IP address of atrusted host and then modify the packet headers so that it appears thatthe packets are coming from that host.

Malicious software (aka malware) can be also involuntarily downloaded toa computer and designed specifically to damage or disrupt a system bymeans of a virus or a Trojan horse. A “Trojan horse” is a program thatmasquerades as a benign application and unlike many viruses, they do notreplicate themselves but can be just as destructive. One of the mostinsidious types of Trojan horse is a program that claims to rid yourcomputer of viruses but instead introduces viruses onto a computer. Theconcepts relating to fraud detection and prevention can be applied alsoto other traditional methods of stealing personal information alsoinclude e-mail or other means that involve a fake premise or story suchas seeking help fleeing from a third world country (e.g., Nigerian scam)or conducting some type of customer service call or transaction (e.g.,“Hello, I am from your bank . . . ”).

The fundamental problem of user authentication is exploited time andtime again in order to commit fraudulent transaction online. Bothfinancial institutions and merchants face a shared problem and ultimatechallenge in properly authenticating who is really on the opposite endof a transaction. Information such as account user names and passwordsare useless and rendered ineffective as reliable credentials in light ofphishing and other Internet fraud scams. Authentication can be attemptedby obtaining various types of information broadly ranging from any orall of the following: something you have; something you know; and/orsomething you are (biometrics). These include information obtained fromtokens (hard, soft, dynamic), shared secret or things not commonly knownsuch as a mother's maiden, a pet's name or a favorite color. An evolvingsystem of security certificates (encryption with public keyinfrastructure (PKI), secure sockets layer (SSL)) may be relied uponalso to verify and authenticate the validity of a party involved in anInternet transaction. Third party bureaus are also relied upon toprovide information that can be used to authenticate an individual suchas D&B reports, credit histories from Equifax and other agencies, andalso Caller ID to identify the number associated with a person. At thesame time, a user may attempt to authenticate a merchant, bank or otherparty at the other end of an online transaction also. Various tool barsmay be employed to allow users to verify a web site, an IP address orsome other indication that a user is indeed in contact with a merchant,bank or other desired party in a transaction.

The information and actions by a party attempting to prevent or detectfraud is often met with an equally effective and opposite countermeasureby learned fraudsters. When banks or merchants create user names andpasswords, they can be rendered ineffective by numerous scams and waysof obtaining user information such as phishing and key-loggers.“Key-loggers” are a type of surveillance software such as spyware thathas the capability to record keystrokes to a log file (usuallyencrypted) made from instant messages, e-mail and any information(including e-mail addresses and Web site URLs visited) typed using akeyboard which can be later sent to a specified receiver. Key-loggers,as a surveillance tool, are often used by employers to ensure employeesuse work computers for business purposes only. Unfortunately,key-loggers can also be embedded in spyware allowing your information tobe transmitted to an unknown third party.) Similarly, cookies that areoften created to contain selected information used for identificationcan be simply deleted, and IP addresses that are associated with fraudcan simply hide behind proxies.

Furthermore, when tokens are frequently used as a security measure togain access to user information, the entire session or exchange can bemerely cloned. The term “session cloning” may be defined as the abilityof a third party to duplicate the session ID of a user and use it tointeract with the web-based application at the same time as the originaluser. Session cloning is generally more of a threat when session IDs arepredictable or obtainable, or if the site allows IP hopping. IP hoppingis permitting the user to change their IP address mid-session withouthaving to re-authenticate to the web site. To minimize fraud and preventIP hopping, one alternative is to track the domain of the source address(remembering domains can have more than two components) and requirere-authentication if the domain changes. This does not prevent IPhopping within the same ISP but does limit the exposure. Another optionto minimize risk is to consider using an inactivity timeout orterminating a session after a certain period of inactivity in order toprotect people who leave their accounts signed-on and their systemsunattended. Regardless of these preventative measures taken againstsession cloning, the risk of fraud remains which provides an opportunityfor the invention herein to detect and prevent such activity when anattempt is made to use information from a computer.

It shall be understood that the description of fraudulent schemesprovided herein is not exhaustive and that additional techniques will bedeveloped in the future to improperly gain access to user information.Regardless of the means and methods used to obtain such information, theconcepts of the invention can be applied to detect and prevent fraud byuniquely linking or fingerprinting such criminal activity with devicesbased upon selected delta of time parameters, clock differentials andtime based parameters provided elsewhere herein. These solutions can beimplemented with no behavioral modification and have a zero impositionon a user as new ways are constantly developed to break past securitybarriers. The onus is not placed on the consumer to prevent attacks, noris the consumer asked to change certain behavior to combat phishing orany other criminal behavior or scheme developed in the future.

Although the present invention has been described in accordance with theembodiments shown, one of ordinary skill in the art will recognize thatthere could be variations to the embodiment and those variations wouldbe within the spirit and scope of the present invention. Therefore,although the present invention was described in terms of a particularfraud prevention method and system, one of ordinary skill in the artreadily recognizes, that any number or parameters can be utilized andtheir use would be within the spirit and scope of the present invention.

What is claimed is:
 1. A non-transitory computer storage storing one ormore computer-executable instructions that, when executed by one or moreprocessors, cause the one or more processors to perform steps of:receiving and storing a plurality of matching parameters; detecting anelectronic communication of a first online transaction between a firstconsumer device and a merchant server via a merchant website; based onthe detecting of the electronic communication of the first onlinetransaction: receiving an IP address of the first consumer device;capturing consumer time expression data associated with the firstconsumer device, wherein the consumer time expression data comprises atime of the first consumer device and a time zone of the first consumerdevice; accessing merchant time expression data associated with themerchant server, wherein the merchant time expression data comprises atime of the merchant server and a time zone of the merchant server;generating and storing a first electronic computer identifiercorresponding to the first consumer device based at least in part on themerchant time expression data, the IP address, and the consumer timeexpression data; and detecting an electronic communication of a secondonline transaction between a second consumer device and the merchantserver via the merchant website; and based on the detecting of theelectronic communication of the second online transaction: identifying asecond electronic computer identifier corresponding to the secondconsumer device; and determining that the first electronic computeridentifier matches with the second electronic computer identifier basedat least in part on one or more of the plurality of matching parameters;and communicating the determination of the match to the merchant server.2. The non-transitory computer storage of claim 1, wherein each of theconsumer device time expression data and the merchant server timeexpression data includes a time in hours, minutes, or seconds and a timezone.
 3. The non-transitory computer storage of claim 1, wherein theconsumer time expression data or the merchant time expression data is ina military time format.
 4. The non-transitory computer storage of claim1, wherein the one or more computer-executable instructions furthercause the one or more processors to perform a step of: calculating afirst level of fraud risk for the first online transaction based atleast in part on an analysis of the IP address using a first weightvalue and an analysis of the consumer time expression data using asecond weight value.
 5. The non-transitory computer storage of claim 4,wherein the computer-executable instructions further cause the one ormore processors perform a step of: determining that the first onlinetransaction is fraudulent based on a comparison of the first level ofrisk to a predetermined threshold value.
 6. A computerized method forautomated real-time fraud detection for an online transaction between aconsumer and a merchant, the computerized method comprising: receivingand storing, by a merchant server, a plurality of matching parameters;detecting, by the merchant server, an electronic communication of afirst online transaction between a first consumer device and themerchant server via a merchant website; based on the detecting of theelectronic communication of the first online transaction: receiving, bythe merchant server, an IP address of the first consumer device;capturing, by the merchant server, consumer time expression dataassociated with the first consumer device, wherein the consumer timeexpression data comprises a time of the first consumer device and a timezone of the first consumer device; accessing, by the merchant server,merchant time expression data associated with the merchant serverwherein the merchant time expression data comprises a time of themerchant server and a time zone of the merchant server; generating andstoring, by the merchant server, a first electronic computer identifiercorresponding to the first consumer device based at least in part on themerchant time expression data, the IP address, and the consumer timeexpression data; and detecting, by the merchant server, an electroniccommunication of a second online transaction between a second consumerdevice and the merchant server via the merchant website; and based onthe detecting of the electronic communication of the second onlinetransaction: identifying, by the merchant server, a second electroniccomputer identifier corresponding to the second consumer device; anddetermining, by the merchant server, that the first electronic computeridentifier matches with the second electronic computer identifier basedat least in part on one or more of the plurality of matching parameters;and communicating the determination of the match to a component withinthe merchant server.
 7. The computerized method of claim 6, wherein eachof the consumer time expression data and the merchant time expressiondata includes two or more temporal components.
 8. The computerizedmethod of claim 7, wherein the temporal components include a time inhours, minutes, or seconds and a time zone.
 9. The computerized methodof claim 6, wherein the consumer time expression data or the merchanttime expression data is in a military time format.
 10. The computerizedmethod of claim 6, wherein the consumer time expression data of thefirst consumer device, and wherein the first merchant time expressiondata and the second merchant time expression data of the merchantwebsite server.
 11. The computerized method of claim 6, whereingenerating the first electronic computer identifier further comprisingdetermining a clock skew of the first consumer device.
 12. Thecomputerized method of claim 6, further comprising calculating, by themerchant server, a first level of fraud risk for the first onlinetransaction based at least in part on at least: an analysis of the firstconsumer IP address using a first weight value; and an analysis of thefirst consumer device time expression using a second weight value. 13.The computerized method of claim 12, further comprising determining, bythe merchant server, that the first online transaction is fraudulentbased on a comparison of the first level of fraud risk to apredetermined threshold value.
 14. The computerized method of claim 12,wherein the second weight value is based at least on a skew of adifference between the first consumer device time and the first merchanttime.
 15. A system for real-time fraud detection for an onlinetransaction between a consumer and a merchant, the system comprising: aprocessor of a merchant server; a network interface configured tocommunicate with a plurality of consumer devices and a server; and amemory storing computer-executable instructions that, when executed bythe processor, cause the processor of the merchant server to perform thesteps of: receiving and storing a plurality of matching parameters;detecting an electronic communication of a first online transactionbetween a first consumer device and the merchant server via a merchantwebsite; based on the detecting of the electronic communication of thefirst online transaction: receiving an IP address of the first consumerdevice; capturing consumer time expression data associated with thefirst consumer device, wherein the consumer time expression datacomprises a time of the first consumer device and a time zone of thefirst consumer device; accessing merchant time expression dataassociated with the merchant server, wherein the merchant timeexpression data comprises a time of the merchant server and a time zoneof the merchant server; generating and storing a first electroniccomputer identifier corresponding to the first consumer device based atleast in part on the merchant time expression data, the IP address, andthe consumer time expression data; and detecting an electroniccommunication of a second online transaction between a second consumerdevice and the merchant server via the merchant website; and based onthe detecting of the electronic communication of the second onlinetransaction: identifying a second electronic computer identifiercorresponding to the second consumer device; and determining that thefirst electronic computer identifier matches with the second electroniccomputer identifier based at least in part on one or more of theplurality of matching parameters; and communicating the determination ofthe match to a component within the merchant server.
 16. The system ofclaim 15, wherein each of the consumer time expression data and themerchant time expression data includes two or more temporal components.17. The system of claim 16, wherein the temporal components include atime in hours, minutes, or seconds and a time zone.
 18. The system ofclaim 15, wherein the consumer time expression data or the merchant timeexpression data is in a military time zone format.
 19. The system ofclaim 15, wherein the consumer time expression data of the firstconsumer device, and wherein the merchant time expression data of themerchant server.
 20. The system of claim 15, wherein thecomputer-executable instructions further cause the processor to performa step of: calculating a first level of fraud risk for the first onlinetransaction based on at least: an analysis of the IP address using afirst weight value; and an analysis of the consumer time expressionusing a second weight value.